Enterprises employ cloud technologies to deliver innovation at scale and lower cost. New services are often built natively on the cloud, but can also come with the risk of “vendor lock-in” and escalating costs. Existing applications can be rewritten, but rewriting thousands (if not tens of thousands) of applications from the ground up is both cost and time-prohibitive, so taking steps to modernize existing applications can be an attractive approach with faster time to value. Both strategies— building new cloud-native applications and modernizing existing applications to support cloud environments — need to be done in an open, portable manner that helps clients improve time to value while avoiding lock-in. Containers and Kubernetes enable this by providing portability and consistency in development and operations, but developers and administrators are still required to continuously connect component layers and verify interoperability. In addition, collecting, integrating, and analyzing data enables data engineers and scientists to help application developers infuse AI into applications; but the trick is to do this without adding complexity and cost. And, then, once applications are built and connected to data, IT operations need them to run in an environment that is high-performing, scalable, and reliable. Today, around 80 percent of existing enterprise workloads have not yet moved to the cloud due to these challenges and enterprises struggle with movement, connectivity, and management across clouds.
IBM Cloud Paks An open, faster, more secure way to move core business applications to any cloud
